The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Report Printed On 

## [1] "2020-04-18"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "2317759 (up from 2240191 yesterday: 3.46 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "159510 (up from 153822 yesterday: 3.7 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.88



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 732197 32491 4.64 38664 1891 5.14 5.28
Spain 191726 887 0.46 20043 41 0.20 10.45
Italy 175925 3491 2.02 23227 482 2.12 13.20
France 149149 19 0.01 19345 642 3.43 12.97
Germany 143342 1945 1.38 4459 107 2.46 3.11
United Kingdom 115314 5545 5.05 15498 891 6.10 13.44
China 83787 27 0.03 4636 0 0.00 5.53
Turkey 82329 3783 4.82 1890 121 6.84 2.30
Iran 80868 1374 1.73 5031 73 1.47 6.22
Belgium 37183 1045 2.89 5453 290 5.62 14.67
Russia 36793 4785 14.95 313 40 14.65 0.85
Brazil 36658 2976 8.84 2354 213 9.95 6.42
Canada 34356 1542 4.70 1400 45 3.32 4.07
Netherlands 31766 1147 3.75 3613 142 4.09 11.37
Switzerland 27404 326 1.20 1368 41 3.09 4.99
Portugal 19685 663 3.49 687 30 4.57 3.49
India 15722 1370 9.55 521 35 7.20 3.31
Ireland 14758 778 5.57 571 41 7.74 3.87
Austria 14671 76 0.52 443 12 2.78 3.02
Peru 14420 931 6.90 348 48 16.00 2.41
Sweden 13822 606 4.59 1511 111 7.93 10.93
Israel 13265 283 2.18 164 13 8.61 1.24
Korea, South 10653 18 0.17 232 2 0.87 2.18
Japan 10296 509 5.20 222 32 16.84 2.16
Chile 9730 478 5.17 126 10 8.62 1.29
Ecuador 9022 572 6.77 456 35 8.31 5.05
Poland 8742 363 4.33 347 15 4.52 3.97
Romania 8418 351 4.35 421 10 2.43 5.00
Saudi Arabia 8274 1132 15.85 92 5 5.75 1.11
Pakistan 7638 613 8.73 143 8 5.93 1.87
Denmark 7437 169 2.33 346 10 2.98 4.65
Norway 7036 99 1.43 164 3 1.86 2.33
Mexico 6875 578 9.18 546 60 12.35 7.94
Czechia 6606 57 0.87 181 8 4.62 2.74
Australia 6547 25 0.38 67 1 1.52 1.02
United Arab Emirates 6302 0 0.00 37 0 0.00 0.59
Indonesia 6248 325 5.49 535 15 2.88 8.56
Philippines 6087 209 3.56 397 10 2.58 6.52
Serbia 5994 304 5.34 117 7 6.36 1.95
Singapore 5992 942 18.65 11 0 0.00 0.18
Malaysia 5305 54 1.03 88 2 2.33 1.66
Ukraine 5106 444 9.52 133 8 6.40 2.60
Qatar 5008 345 7.40 8 1 14.29 0.16
Belarus 4779 0 0.00 45 3 7.14 0.94
Dominican Republic 4335 209 5.07 217 17 8.50 5.01
Panama 4210 194 4.83 116 7 6.42 2.76
Finland 3681 192 5.50 90 8 9.76 2.44
Luxembourg 3537 57 1.64 72 0 0.00 2.04
Colombia 3439 0 0.00 153 0 0.00 4.45
South Africa 3034 251 9.02 52 2 4.00 1.71
Egypt 3032 188 6.61 224 19 9.27 7.39
Argentina 2758 89 3.33 129 6 4.88 4.68
Thailand 2733 33 1.22 47 0 0.00 1.72
Morocco 2685 121 4.72 137 2 1.48 5.10
Algeria 2534 116 4.80 367 3 0.82 14.48
Moldova 2378 114 5.04 57 1 1.79 2.40
Greece 2235 11 0.49 110 2 1.85 4.92
Bangladesh 2144 306 16.65 84 9 12.00 3.92
Hungary 1834 71 4.03 172 16 10.26 9.38
Croatia 1832 18 0.99 39 3 8.33 2.13
Bahrain 1773 33 1.90 7 0 0.00 0.39
Iceland 1760 6 0.34 9 0 0.00 0.51
Kuwait 1751 93 5.61 6 1 20.00 0.34
Kazakhstan 1615 69 4.46 17 0 0.00 1.05
Iraq 1513 31 2.09 82 1 1.23 5.42
Estonia 1512 53 3.63 38 0 0.00 2.51
Uzbekistan 1490 85 6.05 5 1 25.00 0.34
New Zealand 1422 13 0.92 11 0 0.00 0.77
Azerbaijan 1373 33 2.46 18 3 20.00 1.31
Slovenia 1317 13 1.00 70 4 6.06 5.32
Bosnia and Herzegovina 1268 54 4.45 47 1 2.17 3.71
Armenia 1248 47 3.91 20 1 5.26 1.60
Lithuania 1239 90 7.83 33 0 0.00 2.66
Oman 1180 111 10.38 6 0 0.00 0.51
North Macedonia 1170 53 4.74 49 0 0.00 4.19
Slovakia 1089 40 3.81 11 2 22.22 1.01
Cameroon 1017 21 2.11 22 0 0.00 2.16

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 241712 11115 4.82 17671 540 3.15 7.31 12425.08 908.37 1 in 80
New Jersey 81420 2953 3.76 4070 230 5.99 5.00 9166.66 458.22 1 in 109
Massachusetts 36372 1970 5.73 1404 159 12.77 3.86 5233.76 202.03 1 in 191
Pennsylvania 31652 1764 5.90 1042 121 13.14 3.29 2472.43 81.39 1 in 404
Michigan 30791 768 2.56 2308 81 3.64 7.50 3083.15 231.10 1 in 324
California 30491 1334 4.58 1140 103 9.93 3.74 771.69 28.85 1 in 1296
Illinois 29160 1582 5.74 1259 127 11.22 4.32 2301.17 99.35 1 in 435
Florida 25492 733 2.96 748 23 3.17 2.93 1186.90 34.83 1 in 843
Louisiana 23580 462 2.00 1267 54 4.45 5.37 5072.28 272.54 1 in 197
Texas 18704 855 4.79 476 25 5.54 2.54 645.06 16.42 1 in 1550
Georgia 17669 475 2.76 673 23 3.54 3.81 1664.15 63.39 1 in 601
Connecticut 17550 741 4.41 1086 50 4.83 6.19 4922.46 304.60 1 in 203
Maryland 12326 754 6.52 421 87 26.05 3.42 2038.81 69.64 1 in 490
Washington 11776 259 2.25 613 10 1.66 5.21 1546.44 80.50 1 in 647
Indiana 10641 487 4.80 545 23 4.41 5.12 1580.61 80.95 1 in 633
Ohio 10222 1115 12.24 451 33 7.89 4.41 874.49 38.58 1 in 1144
Colorado 9047 356 4.10 389 17 4.57 4.30 1571.00 67.55 1 in 637
Virginia 8053 562 7.50 258 27 11.69 3.20 943.47 30.23 1 in 1060
Tennessee 6589 326 5.21 142 1 0.71 2.16 964.27 20.78 1 in 1037
North Carolina 6328 283 4.68 187 10 5.65 2.96 603.35 17.83 1 in 1657
Missouri 5579 208 3.87 197 13 7.07 3.53 909.01 32.10 1 in 1100
Arizona 4724 213 4.72 180 11 6.51 3.81 620.36 23.64 1 in 1612
Alabama 4712 141 3.08 153 5 3.38 3.25 961.01 31.20 1 in 1041
Rhode Island 4491 314 7.52 137 19 16.10 3.05 4239.35 129.32 1 in 236
South Carolina 4248 149 3.64 119 3 2.59 2.80 825.06 23.11 1 in 1212
Wisconsin 4199 146 3.60 212 6 2.91 5.05 721.18 36.41 1 in 1387
Mississippi 3974 181 4.77 152 12 8.57 3.82 1335.28 51.07 1 in 749
Nevada 3626 102 2.89 151 9 6.34 4.16 1177.21 49.02 1 in 849
Utah 2917 124 4.44 25 2 8.70 0.86 909.87 7.80 1 in 1099
Kentucky 2707 185 7.34 144 7 5.11 5.32 605.91 32.23 1 in 1650
District of Columbia 2666 190 7.67 91 5 5.81 3.41 3777.55 128.94 1 in 265
Delaware 2538 221 9.54 67 6 9.84 2.64 2606.38 68.81 1 in 384
Iowa 2513 181 7.76 74 10 15.62 2.94 796.50 23.45 1 in 1255
Oklahoma 2465 0 0.00 136 0 0.00 5.52 622.95 34.37 1 in 1605
Minnesota 2209 139 6.71 121 10 9.01 5.48 391.69 21.46 1 in 2553
Oregon 1844 59 3.31 72 2 2.86 3.90 437.20 17.07 1 in 2287
Kansas 1821 91 5.26 85 3 3.66 4.67 625.06 29.18 1 in 1600
New Mexico 1798 201 12.59 53 9 20.45 2.95 857.49 25.28 1 in 1166
Arkansas 1744 49 2.89 38 1 2.70 2.18 577.90 12.59 1 in 1730
Idaho 1655 46 2.86 43 2 4.88 2.60 923.52 23.99 1 in 1083
South Dakota 1542 131 9.28 7 0 0.00 0.45 1743.04 7.91 1 in 574
New Hampshire 1342 55 4.27 38 1 2.70 2.83 986.97 27.95 1 in 1013
Nebraska 1249 183 17.17 24 0 0.00 1.92 645.68 12.41 1 in 1549
Puerto Rico 1118 50 4.68 60 2 3.45 5.37 350.06 18.79 1 in 2857
Maine 847 20 2.42 32 3 10.34 3.78 630.11 23.81 1 in 1587
Vermont 803 24 3.08 38 3 8.57 4.73 1286.88 60.90 1 in 777
West Virginia 785 10 1.29 16 0 0.00 2.04 439.25 8.95 1 in 2277
Hawaii 574 33 6.10 9 0 0.00 1.57 405.40 6.36 1 in 2467
North Dakota 528 135 34.35 9 0 0.00 1.70 692.86 11.81 1 in 1443
Montana 426 4 0.95 10 2 25.00 2.35 398.59 9.36 1 in 2509
Alaska 314 5 1.62 9 0 0.00 2.87 429.23 12.30 1 in 2330
Wyoming 309 4 1.31 2 0 0.00 0.65 533.90 3.46 1 in 1873

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed Recovered Deaths Active FatalityRate RecoveryRate
Maharashtra 3648 365 211 3072 5.78 10.01
Delhi 1893 207 43 1643 2.27 10.94
Tamil Nadu 1372 365 15 992 1.09 26.60
Rajasthan 1351 200 21 1130 1.55 14.80
Madhya Pradesh 1402 127 69 1206 4.92 9.06
Gujarat 1376 93 53 1230 3.85 6.76
Uttar Pradesh 974 108 14 852 1.44 11.09
Telangana 809 186 18 605 2.22 22.99
Andhra Pradesh 603 42 16 545 2.65 6.97
Kerala 399 257 2 140 0.50 64.41
Karnataka 384 104 14 266 3.65 27.08
Jammu and Kashmir 341 51 5 285 1.47 14.96
West Bengal 287 55 12 220 4.18 19.16
Haryana 232 100 3 129 1.29 43.10
Punjab 234 31 16 187 6.84 13.25
Bihar 86 42 2 42 2.33 48.84
Odisha 61 24 1 36 1.64 39.34
Uttarakhand 42 9 0 33 0.00 21.43
Chhattisgarh 36 25 0 11 0.00 69.44
Himachal Pradesh 39 16 2 21 5.13 41.03
Assam 34 12 1 21 2.94 35.29
Jharkhand 33 0 2 31 6.06 0.00
Chandigarh 23 9 0 14 0.00 39.13
Ladakh 18 14 0 4 0.00 77.78
Andaman and Nicobar Islands 14 11 0 3 0.00 78.57
Meghalaya 11 0 1 10 9.09 0.00
Goa 7 6 0 1 0.00 85.71
Puducherry 7 1 0 6 0.00 14.29
Manipur 2 1 0 1 0.00 50.00
Tripura 2 1 0 1 0.00 50.00
Mizoram 1 0 0 1 0.00 0.00
Arunachal Pradesh 1 1 0 0 0.00 100.00
Nagaland 1 0 0 1 0.00 0.00
Dadra and Nagar Haveli 0 0 0 0 NaN NaN
Daman and Diu 0 0 0 0 NaN NaN
Lakshadweep 0 0 0 0 NaN NaN
Sikkim 0 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 255331 65381 1246 1.94 25.61 10042 947 34195 12050 18.43
Emilia-Romagna 121220 22184 350 1.60 18.30 3234 296 13584 2965 13.37
Piemonte 91844 20464 661 3.34 22.28 3271 323 14223 2252 11.00
Veneto 247329 15692 318 2.07 6.34 1287 190 10444 1059 6.75
Toscana 99903 8237 127 1.57 8.24 883 198 6470 618 7.50
Liguria 29322 6301 113 1.83 21.49 901 105 3412 897 14.24
Marche 39909 5721 53 0.94 14.34 804 88 3172 795 13.90
Lazio 89553 5668 144 2.61 6.33 1376 186 4282 340 6.00
Campania 46294 3988 37 0.94 8.61 605 76 3045 300 7.52
P.A. Trento 23147 3431 55 1.63 14.82 276 42 1985 348 10.14
Puglia 40423 3409 82 2.46 8.43 594 60 2694 314 9.21
Friuli Venezia Giulia 43293 2731 56 2.09 6.31 141 27 1403 222 8.13
Sicilia 47715 2672 47 1.79 5.60 526 42 2171 196 7.34
Abruzzo 27016 2487 44 1.80 9.21 321 41 1971 253 10.17
P.A. Bolzano 28888 2325 29 1.26 8.05 179 28 1556 239 10.28
Umbria 24106 1344 7 0.52 5.58 109 32 431 57 4.24
Sardegna 14087 1198 20 1.70 8.50 112 23 881 86 7.18
Valle d’Aosta 4521 1073 80 8.06 23.73 107 10 549 124 11.56
Calabria 22794 1011 20 2.02 4.44 152 7 832 73 7.22
Basilicata 6056 339 2 0.59 5.60 60 8 262 23 6.78
Molise 3082 269 0 0.00 8.73 27 4 209 16 5.95

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 17521 723 4.30 688 0 0.00 3.93 2052.20 80.58 1 in 487
Ontario 11013 557 5.33 564 40 7.63 5.12 748.58 38.34 1 in 1336
Alberta 2562 165 6.88 51 1 2.00 1.99 580.54 11.56 1 in 1723
British Columbia 1618 43 2.73 78 1 1.30 4.82 316.58 15.26 1 in 3159
Nova Scotia 649 43 7.10 7 3 75.00 1.08 663.97 7.16 1 in 1506
Saskatchewan 313 6 1.95 4 0 0.00 1.28 264.88 3.39 1 in 3775
Newfoundland and Labrador 257 1 0.39 3 0 0.00 1.17 492.94 5.75 1 in 2029
Manitoba 253 3 1.20 5 0 0.00 1.98 183.66 3.63 1 in 5445
New Brunswick 117 0 0.00 0 0 NaN 0.00 150.00 0.00 1 in 6667
Prince Edward Island 26 0 0.00 0 0 NaN 0.00 164.39 0.00 1 in 6083
Yukon 9 1 12.50 0 0 NaN 0.00 219.10 0.00 1 in 4564
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1579 8 0.51
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1024 4 0.39
Hunan 1019 4 0.39
Anhui 991 6 0.61
Jiangxi 937 1 0.11
Heilongjiang 892 13 1.46
Shandong 787 7 0.89
Jiangsu 653 0 0.00
Shanghai 628 7 1.11
Beijing 593 8 1.35
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 355 1 0.28
Hebei 328 6 1.83
Shaanxi 256 3 1.17
Guangxi 254 2 0.79
Shanxi 197 0 0.00
Inner Mongolia 193 1 0.52
Tianjin 189 3 1.59
Yunnan 184 2 1.09
Hainan 168 6 3.57
Guizhou 146 2 1.37
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 102 1 0.98
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 2237.77 118.17 1 in 447
Spain 4109.00 429.55 1 in 243
Italy 2908.81 384.04 1 in 344
France 2226.44 288.77 1 in 449
Germany 1731.39 53.86 1 in 578
United Kingdom 1735.61 233.26 1 in 576
China 60.45 3.34 1 in 16542
Turkey 1018.80 23.39 1 in 982
Iran 996.40 61.99 1 in 1004
Belgium 3261.67 478.33 1 in 307
Russia 254.62 2.17 1 in 3927
Brazil 175.15 11.25 1 in 5710
Canada 913.97 37.24 1 in 1094
Netherlands 1849.01 210.30 1 in 541
Switzerland 3197.67 159.63 1 in 313
Portugal 1913.02 66.76 1 in 523
India 11.74 0.39 1 in 85167
Ireland 3055.49 118.22 1 in 327
Austria 1663.00 50.22 1 in 601
Peru 448.24 10.82 1 in 2231

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 127352 13202 10.37
Nassau New York 28539 1109 3.89
Suffolk New York 25035 693 2.77
Westchester New York 22476 668 2.97
Cook Illinois 19391 760 3.92
Wayne Michigan 13233 1044 7.89
Bergen New Jersey 11863 714 6.02
Los Angeles California 11400 497 4.36
Essex New Jersey 9672 684 7.07
Hudson New Jersey 9636 420 4.36
Rockland New York 8987 319 3.55
Miami-Dade Florida 8824 195 2.21
Philadelphia Pennsylvania 8563 298 3.48
Union New Jersey 8429 330 3.92
Middlesex Massachusetts 7744 258 3.33
Passaic New Jersey 7604 221 2.91
Middlesex New Jersey 7308 309 4.23
Suffolk Massachusetts 7272 164 2.26
Fairfield Connecticut 7146 425 5.95
Orange New York 6514 204 3.13
Orleans Louisiana 5906 317 5.37
Oakland Michigan 5901 442 7.49
Jefferson Louisiana 5476 269 4.91
King Washington 4902 331 6.75
Essex Massachusetts 4584 159 3.47
New Haven Connecticut 4520 229 5.07
Harris Texas 4460 67 1.50
Ocean New Jersey 4424 201 4.54
Monmouth New Jersey 4414 206 4.67
Macomb Michigan 4145 373 9.00
Morris New Jersey 3822 232 6.07
Broward Florida 3688 107 2.90
Marion Indiana 3518 182 5.17
Norfolk Massachusetts 3499 173 4.94
Hartford Connecticut 3015 266 8.82
Prince George’s Maryland 2966 77 2.60
Worcester Massachusetts 2765 84 3.04
Clark Nevada 2738 124 4.53
Providence Rhode Island 2703 3 0.11
Montgomery Pennsylvania 2684 97 3.61
Plymouth Massachusetts 2577 93 3.61
District of Columbia District of Columbia 2476 86 3.47
Riverside California 2457 69 2.81
Maricopa Arizona 2404 69 2.87
Montgomery Maryland 2280 63 2.76
Delaware Pennsylvania 2226 73 3.28
Somerset New Jersey 2195 135 6.15
Dallas Texas 2190 55 2.51
Dutchess New York 2142 19 0.89
Hampden Massachusetts 2134 161 7.54

Overall US Choropleth Map

Choropleths are an ideal way to visualize the COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc